Daniel E. Wagner

5.4k total citations · 6 hit papers
18 papers, 3.3k citations indexed

About

Daniel E. Wagner is a scholar working on Molecular Biology, Global and Planetary Change and Paleontology. According to data from OpenAlex, Daniel E. Wagner has authored 18 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Global and Planetary Change and 4 papers in Paleontology. Recurrent topics in Daniel E. Wagner's work include Marine Ecology and Invasive Species (7 papers), Planarian Biology and Electrostimulation (7 papers) and Single-cell and spatial transcriptomics (5 papers). Daniel E. Wagner is often cited by papers focused on Marine Ecology and Invasive Species (7 papers), Planarian Biology and Electrostimulation (7 papers) and Single-cell and spatial transcriptomics (5 papers). Daniel E. Wagner collaborates with scholars based in United States, Switzerland and Japan. Daniel E. Wagner's co-authors include Allon M. Klein, Peter W. Reddien, Irving E. Wang, Caleb Weinreb, Sean G. Megason, James Briggs, Zach M. Collins, Josien C. van Wolfswinkel, Leonid Peshkin and Jaclyn J. Ho and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel E. Wagner

16 papers receiving 3.3k citations

Hit Papers

Single-cell mapping of gene expression landsca... 2011 2026 2016 2021 2018 2011 2018 2020 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel E. Wagner United States 15 2.8k 850 382 325 297 18 3.3k
Sylvain W. Lapan United States 16 2.1k 0.8× 615 0.7× 295 0.8× 144 0.4× 236 0.8× 19 2.4k
Sven Sagasser Sweden 13 3.7k 1.3× 134 0.2× 294 0.8× 899 2.8× 172 0.6× 13 5.2k
Patrick Lemaire France 44 6.3k 2.3× 1.4k 1.7× 249 0.7× 279 0.9× 345 1.2× 116 7.8k
Kerstin Bartscherer Germany 22 2.5k 0.9× 716 0.8× 338 0.9× 399 1.2× 311 1.0× 28 2.9k
Jean‐Stéphane Joly France 27 2.5k 0.9× 333 0.4× 244 0.6× 203 0.6× 142 0.5× 47 3.6k
Manuel Irimia Spain 43 5.9k 2.1× 321 0.4× 566 1.5× 768 2.4× 174 0.6× 120 6.8k
David R. McClay United States 54 4.7k 1.7× 1.1k 1.3× 188 0.5× 294 0.9× 303 1.0× 144 7.4k
Thierry Lepage France 28 2.6k 0.9× 486 0.6× 66 0.2× 226 0.7× 171 0.6× 45 3.5k
Bret J. Pearson Canada 29 2.7k 1.0× 1.3k 1.5× 757 2.0× 88 0.3× 456 1.5× 53 3.4k
José Luis Gómez-Skármeta Spain 47 5.2k 1.9× 408 0.5× 720 1.9× 400 1.2× 295 1.0× 134 6.2k

Countries citing papers authored by Daniel E. Wagner

Since Specialization
Citations

This map shows the geographic impact of Daniel E. Wagner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel E. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Wagner more than expected).

Fields of papers citing papers by Daniel E. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Wagner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel E. Wagner. The network helps show where Daniel E. Wagner may publish in the future.

Co-authorship network of co-authors of Daniel E. Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Wagner. A scholar is included among the top collaborators of Daniel E. Wagner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel E. Wagner. Daniel E. Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
2.
Skinner, Dominic J., et al.. (2025). Evaluating Selective Quality Control in Mammalian Oogenesis: Evidence and Opportunities. Annual Review of Genetics. 59(1). 237–270.
3.
Kraiczy, Judith, Neil McCarthy, Ermanno Malagola, et al.. (2023). Graded BMP signaling within intestinal crypt architecture directs self-organization of the Wnt-secreting stem cell niche. Cell stem cell. 30(4). 433–449.e8. 38 indexed citations
4.
Díaz-Cuadros, Margarete, Daniel E. Wagner, Christoph Budjan, et al.. (2020). In vitro characterization of the human segmentation clock. Nature. 580(7801). 113–118. 129 indexed citations
5.
Sharma, Nikhil, et al.. (2020). The emergence of transcriptional identity in somatosensory neurons. Nature. 577(7790). 392–398. 270 indexed citations breakdown →
6.
Wagner, Daniel E. & Allon M. Klein. (2020). Lineage tracing meets single-cell omics: opportunities and challenges. Nature Reviews Genetics. 21(7). 410–427. 368 indexed citations breakdown →
7.
Petersen, Christian P., et al.. (2019). A small set of conserved genes, including sp5 and Hox, are activated by Wnt signaling in the posterior of planarians and acoels. PLoS Genetics. 15(10). e1008401–e1008401. 23 indexed citations
8.
Briggs, James, Caleb Weinreb, Daniel E. Wagner, et al.. (2018). The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. Science. 360(6392). 365 indexed citations breakdown →
9.
Wagner, Daniel E., Caleb Weinreb, Zach M. Collins, et al.. (2018). Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo. Science. 360(6392). 981–987. 530 indexed citations breakdown →
10.
Raj, Bushra, Daniel E. Wagner, Aaron McKenna, et al.. (2018). Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain. Nature Biotechnology. 36(5). 442–450. 408 indexed citations breakdown →
11.
Wang, Irving E., Daniel E. Wagner, & Peter W. Reddien. (2018). Clonal Analysis of Planarian Stem Cells by Subtotal Irradiation and Single-Cell Transplantation. Methods in molecular biology. 479–495. 9 indexed citations
12.
Wagner, Daniel E., et al.. (2015). teashirt is required for head-versus-tail regeneration polarity in planarians. Development. 142(6). 1062–72. 24 indexed citations
13.
Wolfswinkel, Josien C. van, Daniel E. Wagner, & Peter W. Reddien. (2014). Single-Cell Analysis Reveals Functionally Distinct Classes within the Planarian Stem Cell Compartment. Cell stem cell. 15(3). 326–339. 225 indexed citations
14.
Witchley, Jessica N., et al.. (2013). Muscle Cells Provide Instructions for Planarian Regeneration. Cell Reports. 4(4). 633–641. 183 indexed citations
15.
Wagner, Daniel E., Jaclyn J. Ho, & Peter W. Reddien. (2012). Genetic Regulators of a Pluripotent Adult Stem Cell System in Planarians Identified by RNAi and Clonal Analysis. Cell stem cell. 10(3). 299–311. 157 indexed citations
16.
Wagner, Daniel E., Irving E. Wang, & Peter W. Reddien. (2011). Clonogenic Neoblasts Are Pluripotent Adult Stem Cells That Underlie Planarian Regeneration. Science. 332(6031). 811–816. 481 indexed citations breakdown →
17.
Wagner, Daniel E., Charles L. Phillips, Grant E. Nybakken, et al.. (2005). Toward the development of peptide nanofilaments and nanoropes as smart materials. Proceedings of the National Academy of Sciences. 102(36). 12656–12661. 96 indexed citations
18.
Dockhorn, Robert J., et al.. (1997). Proventil HFA Provides Protection from Exercise-Induced Bronchoconstriction Comparable to Proventil and Ventolin. Annals of Allergy Asthma & Immunology. 79(1). 85–88. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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